Intelligent Evolution: AI-Powered Feedback Loops in DevOps
DevOps, an amalgamation of "development" and "operations," represents a transformative approach in software engineering, emphasizing collaboration, automation, and iterative improvement across the software development lifecycle (SDLC). Since its inception in the early 2000s, DevOps has become a pivotal methodology for delivering high-quality software efficiently and reliably. By bridging the traditional gap between development and operations teams, DevOps fosters a culture of shared responsibility and continuous enhancement.Building on this foundation, Artificial Intelligence (AI) introduces advanced capabilities like predictive analytics, anomaly detection, and intelligent automation into DevOps processes. These AI-driven continuous feedback loops provide real-time performance insights and facilitate automated optimizations, empowering organizations—including those in the healthcare industry—to achieve faster delivery, improved code quality, and enhanced operational resilience.
Publication Details
- Journal
- Zenodo (CERN European Organization for Nuclear Research)
- Published
- 2025-02-04
- DOI
- https://doi.org/10.5281/zenodo.14802818
- Primary Topic
- Milk Quality and Mastitis in Dairy Cows
- Type
- article
- Field-Weighted Citation Impact
- 0.00